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81. A Method Based on Lorenz Disturbance and Variational Mode Decomposition for Wind Speed Prediction
Year: 2019, Volume: 19, Number: 2
... years. The methods are roughly divided combined with four neural networks, this paper develops a into three types ... the physical method, the statistical method wind speed prediction method based on Lorenz system and and the artificial intelligence ... 1) As for wind speed prediction, Elman neural network has higher prediction accuracy and information such as terrain ...
Year: 2010, Volume: 10, Issue: 3
... is aimed to track the aging trend a new MLP neural network approach is introduced. The of the incipient ... Terms — bearing damage, vibration analysis, MLP neural networks, feature extraction, condition monitoring II. STATISTICAL ... Statistical parameters are easily extracted in time domain I. INTRODUCTION and define the average properties of machinery data. ...
Year: 2011, Volume: 11, Number: 3
... Engineering Volume 11, Number 3, 2011 Fault Tolerant Neural Network for ECG Signal Classification Systems Mostefa MERAH1, ... modification of Index Terms — Fault tolerant, artificial neural networks, hybrid backpropagation algorithms, medical diagnosis. the ... weight magnitudes by adding a noise in the input of the first hidden layer (which tends to reduce the ...
Year: 2019, Volume: 19, Number: 4
... Engineering Volume 19, Number 4, 2019 Hybrid Artificial Neural Network by Using Differential Search Algorithm for Solving Power ... order to use numerical methods, it is required neural networks, optimization, power system analysis to determine and ... an initial point for considered computing. solution set which needs to be close to global minimum point due to ...
Year: 2021, Volume: 21, Number: 3
... of Diabetic Retinopathy Disease with Transfer Learning using Deep Convolutional Neural Networks Krishnamoorthy SOMASUNDARAM1, Paulraj SIVAKUMAR1, Durairaj SURESH2 ... Department of Information Technology, PSG College of Technology, Coimbatore, Tamil Nadu, India 2 Department of Computer ... In general, using deep information, a Convolutional Neural Network (CNN) models which possesses an image with ...
Year: 2022, Volume: 22, Number: 2
... 2022 A Novel Approach to Speech Enhancement Based on Deep Neural Networks Maryam SALEHI, Sattar MIRZAKUCHAKI Department of Electrical ... , Iran University of Science& Technology, Tehran, Iran m_kuchaki@iust.ac.ir 1 Abstract — Minimum mean-square error ... In this paper, a long short-term memory fully convolutional network (LSTM-FCN) is utilized Among the most speech ...
Year: 2011, Volume: 11, Number: 1
... 1, 2011 Blind Source Separation for Convolutive Mixtures with Neural Networks Botond Sandor KIREI, Marina Dana ŢOPA, ... MURESAN, Ioana HOMANA, Norbert TOMA Technical University of Cluj Napoca str. Memorandumului, nr. 28, ... be convolutive ones. Time domain algorithms (as neural network based blind source separation) are not suitable propagation ...
Year: 2018, Volume: 18, Number: 3
... of High Speed Tangent Sigmoid Transfer Function Approximations for Artificial Neural Network Applications on FPGA Ismail KOYUNCU Afyon Kocatepe University ... the nonlinear functions used in Artificial based applications. Neural Networks (ANNs). As TSTF includes exponential Transfer ... used in ANNs are generally divided function operations, hardware-based implementation of this into two types: Linear and non-linear ...
Year: 2021, Volume: 21, Number: 3
... Number 3, 2021 Robust 2-bit Quantization of Weights in Neural Network Modeled by Laplacian Distribution Zoran PERIC, Bojan ... , high-resolution quantizers are addition to compression, in neural networks, the application of usually used, increasing complexity ... In this paper, we came quantizer models that are robust to changes in the variance of input data is ...
Year: 2010, Volume: 10, Issue: 3
... of the feeder responses to impulse waves which an artificial neural network(ANN). Wavelet packet is firstly ... paper, a new approach based on the wavelet packet networks, Fault detection, High impedance fault, Wavelet ... , is used to discriminate the HIF current from packet. currents of capacitor switching, line and load switching ...
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